Learn how to use AI for literature reviews ethically without breaking academic rules or risking journal rejection.
Category: Academic Research
Learn how to choose between multiple journals by evaluating impact, fit, scope, and review speed for smarter submissions.
Learn what makes a good research contribution and how students and early researchers can build meaningful, publishable work with clear examples.
Learn practical steps to avoid confirmation bias in academic research. Improve objectivity through better design, analysis, and interpretation.
Learn how to choose the right sampling strategy for your study. Explore probability vs non-probability methods with clear examples and guidance.
Learn what research reproducibility means and why it matters for scientific integrity. Discover key principles and strategies to make your research more reproducible.
Learn the key ethical principles behind using secondary data in social science research, including consent, privacy, bias, and responsible interpretation.
Learn how to collaborate effectively on multi-author papers. Discover strategies for writing, organization, communication, reference management, and research teamwork.
Altmetrics track how your research is discussed, shared, and used across social media, news, blogs, and policy. Learn how they work and why they matter for real research impact.
Explore the key differences between ResearchPal and Consensus — from data accuracy to transparency — and learn which delivers stronger academic insight.
Discover the key differences between ResearchPal and Elicit—two leading AI research assistants—and learn which platform best supports modern researchers.
Discover how to plan and execute a pilot study to test your research design, identify issues, and improve data quality before your main project.